![]() You can run some tests on your development machine or during continuous integration and deployment (CI/CD). There are some cloud-based testing solutions as well. You can import OpenAPI files in Postman, and Taurus also supports converting OpenAPI into test definitions. If you have a machine-readable definition of your API in OpenAPI format, you can use that definition to help design tests. Another interesting tool is Taurus, an automation framework for multiple test runners. A common choice is using the Postman HTTP client to design tests and then automate their execution with its command-line companion Newman. Hence, you don’t necessarily need specific tools but can use the same tools as with functional testing. It’s just that they’re negative tests, which means you don’t test for desired outcomes but for undesired outcomes. Tools For API TestingĪs we’ve established, security tests are similar to functional tests. Some security issues may manifest themselves only under these circumstances. You should also include negative tests in your performance and API monitoring, especially when running stress tests. Getting insights from tracing data through tools like Traceable AI can help you discover API usage and potential edge cases worth testing. You can also use these negative tests to confirm your API security through the creative design of invalid inputs that could break your API or leak data. These so-called negative tests help you figure out if your API error handling is working as expected. ![]() In addition to the valid inputs, you also create test cases with invalid requests. Security testing mostly comes in after the first level of individual API tests. These are generally positive tests for the happy path, which means you define a desired input and outcome and check that the API works as expected. You can also set up monitoring to make sure your API remains available and reliable over time. Finally, you can set up performance testing to ensure that your API remains functional and reliable under higher load. ![]() Then you create tests covering a chain of API calls for expected use cases. There’s a valid input and an anticipated response for each test, and running the test confirms that the response matches expectations. Generally speaking, API testing starts with functional testing of individual API calls.
0 Comments
Leave a Reply. |